DMIN 2013 - The 2013 International Conference on Data Mining (DMIN'13)

DMIN conference proceedings (in printed book form; later, the proceedings will also be accessible online). Those interested in proposing a workshop, special session, or a tutorial should refer to the relevant sections that appear below.
SCOPE: Topics of interest include, but are not limited to, the following:
Data Mining Tasks
Regression/Classification
Time series forecasting
Segmentation/Clustering/Association
Deviation and outlier detection
Explorative and visual data mining
Web mining
Mining text and semi-structured data
Temporal and spatial data mining
Multimedia mining (audio/video)
Others
Data Mining Algorithms
Artificial neural networks
Fuzzy logic and rough sets
Decision trees/rule learners
Support vector machines
Evolutionary computation/meta heuristics
Statistical methods
Collaborative filtering
Case based reasoning
Link and sequence analysis
Ensembles/committee approaches
Others
Data Mining Integration
Mining large scale data
Distributed and grid based data mining
Data and knowledge representation
Data warehousing and OLAP integration
Integration of prior/domain knowledge
Metadata and ontologies
Agent technologies for data mining
Legal and social aspects of data mining
Data Mining Process
Data cleaning and preparation
Feature selection and transformation
Attribute discretisation and encoding
Sampling and rebalancing
Missing value imputation
Model selection/assessment and comparison
Induction principles
Model interpretation
Others
Data Mining Applications
Bioinformatics
Medicine Data Mining
Business/Corporate/Industrial Data Mining
Credit Scoring
Direct Marketing
Database Marketing
Engineering Mining
Military Data Mining
Security Data Mining
Social Science Mining
Data Mining in Logistics
Others
We particularly encourage submissions of industrial applications and case studies from practitioners. These will not be evaluated using solely theoretical research criteria, but will take general interest and presentation into consideration.